KMWorld 100 Companies That Matter in Knowledge Management 2024

We think these companies play a pivotal role in shaping the future and bringing relevancy to how knowledge is harnessed and made useful across diverse sectors. They are committed to driving efficiency and effectiveness through KM to organizations of all types.

Personalization to support customer engagement and boost revenue

Over time, consumers have become accustomed to personalized results when they search for products and services. They are demanding that the brands they deal with have a deep understanding of their individual needs.

Using Generative AI for real-world KM solutions

The overarching utility derived from GenAI capabilities relies on organizations' proficiency to reduce redundancy to minimize inaccuracies, monitor outputs, and trace responses to the underlying data sources from which their responses are produced.

Promises and Perils of AI for Enterprise Knowledge Management

This survey reveals both excitement and trepidation around enterprise AI adoption for knowledge management. Long-standing problems around information access, data quality, and speedy acquisition of needed information are the puzzle pieces that AI has the potential to solve.

KMWorld 2023 sees a sea change

Most of the papers presented at the 2023 conference did not report on what had changed. Instead, they assumed and predicted that there would be substantial change.

Microsoft’s Copilot: A force multiplier for KM

Generative AI (GenAI) applications will increasingly transform organizations' IT platforms. Companies of any size that opt to create robust apps on their own, however, are in for a protracted, complex, and expensive experience.There's a better way: Buy into what I call a GenAI ecosystem from a vendor in whose tech you are already invested. These ecosystems are comprised of the sum of services customers mostly need to build and launch robust apps.

KM and AI: Experts look at what lies ahead for 2024

AI and dreams of its potential rocked this past year as companies moved quickly to embed and offer their own version of chat assistants, predictive and generative AI, and more

It’s not about knowledge, it’s about action

Organizations cannot continue to digitally hoard knowledge. Investments in knowledge technology have to pay and provide an ROI. It all starts by making different decisions.

The flip side of generative AI: Extractive AI

Extractive AI takes a more comprehensive and transparent approach to machine intelligence.

Should we go back to paper-based KM?

The sheer volume of largely useless data we have accumulated across the years severely limits the ability of AI to work well, and it comes at a heavy environmental and financial cost.

The trust problem with GenAI

2023 has been the year of ultra-hyping GenAI, and who is paying for this deluge of marketing? Technology vendors that want us to buy it. Again, it's impressive stuff, but when we shift from selling to buying and ultimately using it, many tough questions need to be asked.

8 billion and counting

The message is clear: No single person or committee or group can weave the best paths through the infinite maze of possible event chains. Only humans and machines working together, side by side, can produce a better result than would ever be possible from either one alone.

Unlocking the Power of Knowledge Management for Enterprise AI with Anzo and Knowledge Guru

100 Companies that Matter in Knowledge Management 2024

A Blueprint for Transforming Paper-Intensive Processes

eBook: Navigating IM In an Evolving Remote/Hybrid World